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[英文期刊] 第二届IEEE数据库技术与应用国际会议-DBTA2010

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发表于 2010-5-4 16:05 |只看该作者 |倒序浏览
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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
0 h1 O5 \* H, K( [! q) C第二届IEEE数据库技术与应用国际会议-DBTA2010(DBTA2009已全部EI Compendex检索)
- J" ^/ e1 ]4 f, q( v3 x( Y) @11月27-28,2010,武汉,中国 + o2 N8 s( V6 r+ ~  [6 Y- X: ?8 R- H" c
http://www.icdbta.org/
5 J7 ^! A9 V- W; N$ K1 F' \* L) f4 X5 D$ y8 o6 P* C; }
论文提交日期: 2010年8月18日
. ^% v+ ?% U/ q: [% `论文录用通知日期: 2010年9月 16 日) d' @1 ?. @# P2 B1 ?9 w3 f
论文修订版本提交日期: 2010年9月22日
# Z: K8 ]2 \( E% ?; C3 b" b/ B1 A论文注册日期: 2010年9月28日* Q: V. }( P1 M& n: V
论文提交系统: http://www.icdbta.org/dbta2010/submission/
4 A2 w# l: {% F; H会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)/ \! u9 G- g) ?
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)* [# v$ I% d8 R6 m, m$ `
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第二届IEEE数据库技术与应用国际会议(DBTA2010)将于2010年11月27-28日在中国-武汉召开。第一届IEEE数据库技术与应用国际会议(DBTA2009)全部收录的论文已经被EI Compendex检索。DBTA2010将由美国IEEE出版社出版,收录的论文将全部被ISTP和EI Compendex检索。会议优秀论文将被推荐选入EI或SCI国际期刊专刊发表。, T3 {  ^1 I/ L9 `" D, g

) E. K+ R& g9 X' G欢迎研究员、工程师、教师和学生踊跃投稿,会议论文主题由以下领域构成,但并不局限于:
" k1 B, m$ P! X- C5 g) \3 C9 L: u1 k, [% ?4 O# H5 R
1. Database and Related Issue ( n: X' E$ i5 i) r" c9 i: _! q& v
Temporal Data
, m4 A' _8 i0 \6 g. B9 P6 N0 eScientific Databases
+ l+ w' G, W1 F4 fBusiness database software
! b5 I) M+ P9 y! ^Computer data processing
4 }2 S4 `; n* r) F8 }Data processing services
% o# U' p0 p3 {Data processing supplies % f; h# o; J/ w' R0 t# q
Data processing systems
6 F) L6 Q, V: IMetadata Management
* a. i1 f: d) F% UMobile Data and Information
$ X+ n4 t: P- ?" O" F- T** Databases
! L/ y" b4 K1 m1 n) E' xWWW and Databases
. T5 r& j6 w9 [8 LWorkflow Management and Databases
2 q/ u% ?/ I5 A, o! w; X; u& m; dXML and Databases, N* o4 r: K; Y( r  B. e8 C: ]9 L" a
** Databases3 N5 R8 r% R% K
Data modeling and architectures+ N7 |% ~, N) L7 n. s: n
Data streaming, data provenance and data quality* ?0 S/ }8 x# c6 K' h5 P6 d
Data Security, privacy, and data integrity 0 S$ P9 z, g; q% M! H9 D) K5 u0 \/ m
Web Data and the Internet
7 P/ V2 H; G) o4 f' D; {& uXML and databases, web services
* w  e4 k! i8 b2 Y- F4 ySemi-structured data, metadata
( c' Y& b5 H1 t1 ~9 v: d/ Ee-commence
3 x% n( u  H5 Q* y9 L/ t8 ~; W4 ?% w) {! x% x
2. Data warehouse and Data mining2 e. B' d7 Q& ]8 q
Grid/Parallel/distributed data warehousing  x$ ^( |  C8 Y/ d- _
Web/** data warehouses
4 q$ \) B3 Q1 |$ d4 Z9 ~  v- _Data warehousing and the semantic web( t" _4 {; O1 R8 V
Data warehousing with unstructured data1 i6 C7 Z: P: j' `
Integration of Data Warehousing  G- E# p/ s4 j3 u
Data and knowledge representation
  U  |) ?/ z1 I9 wLanguages and inte**ces for data mining
$ h' _- x$ d4 WData integration and interoperability
% S9 s% e/ U2 l( kData extraction, cleansing, transforming and loading
0 b# l) Q2 m% e/ KData mining and information extraction! \# a4 f4 z  j: i* {4 b
KDD Process and Human Interaction
( g. T- J7 X0 p, w: L2 LOLAP and Data Mining
/ D! ?6 h7 g4 f0 @. XParallel and Distributed Data Mining! K+ ^0 L& r+ G/ L6 u
Physical database design and performance evaluation9 g! H# h$ z9 L3 i& m
Query processing and optimization
( p1 F3 A& f* S4 u& H4 l7 iReliability and Robustness Issues
4 s$ V  b9 w* g  n' LSemantic web and ontology
" Z/ G$ ^" F6 l0 zSoftware Warehouse and Software Mining- ~- V, ]9 j) T5 y  Z
Social and mathematical statistics% j5 @' c; S$ v  c5 \* D1 M: ]0 p
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
$ u* t3 Z; N6 @% |$ v! v- IDeveloping a unifying theory of data mining ' a' B% [# ]* O  a) @9 U/ x$ p4 A
Mining sequences and sequential data  I: D6 `/ {7 Q0 x1 T
Data pre-processing, data reduction, feature selection, and feature transformation . e* Q# V; l; U4 U1 S: F
Quality assessment, interestingness analysis, and post-processing 6 S! f' B0 Z. B  X& X
Mining unstructured, semi-structured, and structured data
. C- e+ a' _+ mMining temporal, spatial, spatio-temporal data
. b( C& v. b, n1 E: n, uMining data streams and sensor data! V( f  n8 w( F. @' g% K
Mining ** data
% O! }/ ~0 w( w) wMining social network data8 q) y3 K- o! f; b% |) H! I
Human-machine interaction and visual data mining
( \* e$ {: h8 e  EData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
( ]! F9 {" z8 eKnowledge Acquisition & Management
0 r# H  c5 ^- N# a- R% GKnowledge Modeling4 b% m% h7 O5 @! p  i8 p! }9 q
Knowledge Processing
1 n; V$ r' |' c4 fIntegrated KDD applications and systems / ^! f  o! f% |* }$ \/ ~
Business Process Intelligence: P+ S% [. Y+ i/ C$ M
Cluster Analysis and Knowledge Base system
! N7 X/ ?/ i; a* C: nInformation systems technology
9 j4 A" w8 ^/ r/ \6 v7 W3 vOther related technology about data mining
4 r# f8 Z$ C; {, _) p+ {4 u
  |* k4 w) d/ @3. Computer Science and Related Technology
7 Z. ~' F8 g8 E, U- gImage and signal processing
( D+ i9 d& m* A/ Y, \9 ]Artificial Intelligence & r8 U& H( n4 Y5 ?
Software engineering
$ _6 y' x5 M. s6 y: _2 M0 BSystems Engineering 2 [. C' B& k2 n5 a- F4 J4 @
Computer Graphics
* q1 B. \# L6 ~" f5 d$ r, z5 VComputer Application $ d7 |7 J. K" d; Y9 t4 p+ a
Control Technology
( ~% n# ?; ~/ eNetwork Technology
7 y( ~; t) x9 \# o0 M( W. ^Network security
; i- ^. U+ y* o' h% }Numerical and symbolic computation
2 |- O8 Y+ }" N+ @- VComputer Modeling and Simulation& F8 I+ B3 R& A( I: k' Z7 K6 X
Communication Technology
( c5 q, v/ b& U5 qAlgorithms and data structures1 g' W% g# W* {+ H, U
Computer Education: |; `; |, Q# p; d! m9 U! ]
Other Advanced Technology
1 f. P! }# X7 F! y, z- i0 |9 V1 g( G0 t3 p( E4 d
======================================/ R2 M; A: ^, Y; T6 q% [
DBTA2010会议联系秘书处
! A5 |1 ?7 u% ~9 T' ^/ A  I6 H- I$ p
. ?$ j2 f6 |! e. D" }& H邮件: dbta2010@vip.sina.com, info@icdbta.org
! M; z- h% q3 r, x3 h, t8 }3 Z: i电话: +86-15102769170# R9 d. ?* o' A4 S6 H/ L
======================================
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